With the rapid growth of the data-driven applications, including AI, big data, content delivery, database, and machine learning etc., the computation of the high volume data becomes an important customer requirement in addition to the storage. Traditional architectures conduct the computation through the CPU, and thus need to transfer data from storage to memory first, resulting in high-volume data transfers which cause significant I/O, network and CPU overhead. Adding computational capabilities to the storage devices avoids the performance-expensive transfer of data prior to computation. This talk will describe an architecture and its specifications for ThinkStor, Alibaba's In-storage computing platform, including its hardware and software architecture, potential applications, and its ecosystem.

Keywords:

Computational storage

Advancing Storage and Information Technology

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